Convolutional Neural Networks

SNet is a convolutional neural network architecture and object detection backbone used for the ThunderNet two-stage object detector. SNet uses ShuffleNetV2 basic blocks but replaces all 3×3 depthwise convolutions with 5×5 depthwise convolutions.

Source: ThunderNet: Towards Real-time Generic Object Detection


Paper Code Results Date Stars


Task Papers Share
Mixed Reality 2 20.00%
Semantic Segmentation 2 20.00%
Object Detection 2 20.00%
Image Generation 1 10.00%
Image Restoration 1 10.00%
Rain Removal 1 10.00%
Single Image Deraining 1 10.00%